| 000 -LEADER |
|---|
| fixed length control field |
01092nam a2200169Ia 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20200308073519.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190927s9999 xx 000 0 und d |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
T J336 2013 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Preferred name for the person |
Jayme, Richie Roy U. |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Vision-based can counter |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of Publication |
Cebu City |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of Publisher |
CIT-U |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of Publication |
2013 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Jayme, Richie Roy U., Cebu Institute of Technology-Unversity; March 2013;Vision- Based Can Counter<br/><br/>Adviser: Dr. Elmer Maravillas<br/><br/>It is necessary that task no matter how small should be performed as quickly and as efficiently as possible. For this reason, time spent at a grocery line has to be minimized. The aim of this study was to address this concern by detecting the number of cans present in the conveyor through the use of a webcam so that the cashier will not need to scan each can one by one.<br/><br/>This was done by capturing an image from the top view of the cans, and then image processing techniques were applied to detect the cans present in the image. The result showed the number of the cans present in the image. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| -- |
000-099 |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Item type |
RESERVED BOOKS |
| Source of classification or shelving scheme |
|